STAFF PROFILE
Dr Yongli Ren
Position:
Associate Professor
College / Portfolio:
STEM College
School / Department:
STEM|School of Computing Technologies
Phone:
+61399252859
Email:
yongli.ren@rmit.edu.au
Campus:
City Campus
Contact me about:
Research supervision
- Wang, J.,Ren, Y.,Li, J.,Deng, K. (2022). The Footprint of Factorization Models and Their Applications in Collaborative Filtering In: ACM Transactions on Information Systems, 40, 1 - 32
- Joorabloo, N.,Jalili, M.,Ren, Y. (2022). Improved recommender systems by denoising ratings in highly sparse datasets through individual rating confidence In: Information Sciences, 601, 242 - 254
- Khaokaew, Y.,Holcombe-James, I.,Saiedur Rahaman, M.,Trippas, J.,Spina, D.,Ren, Y.,Sanderson, M.,Scholer, F.,Salim, F. D., et al, . (2022). Imagining future digital assistants at work: A study of task management needs In: International Journal of Human Computer Studies, 168, 1 - 17
- Kang, Y.,Saiedur Rahaman, M.,Ren, Y.,Sanderson, M.,White, R.,Salim, F. (2022). App usage on-the-move: Context- and commute-aware next app prediction In: Pervasive and Mobile Computing, 87, 1 - 19
- Joorabloo, N.,Jalili, M.,Ren, Y. (2021). A Probabilistic Graph-based Method to Solve Precision-diversity Dilemma in Recommender Systems In: Expert Systems with Applications, 184, 1 - 10
- Abu Shaqra, F.,Xue, H.,Ren, Y.,Salim, F. (2021). PIETS: Parallelised Irregularity Encoders for Forecasting with Heterogeneous Time-Series In: Proceedings of the 21st IEEE International Conference on Data Mining (ICDM 2021), Auckland, New Zealand, 7-10 December 2021
- Mena Maldonado, E.,Canamares, R.,Castells, P.,Ren, Y.,Sanderson, M. (2021). Popularity Bias in False-positive Metrics for Recommender Systems Evaluation In: ACM Transactions on Information Systems, 39, 1 - 43
- Mena, E.,Canamares, R.,Castells, P.,Ren, Y.,Sanderson, M. (2020). Agreement and Disagreement between True and False-Positive Metrics in Recommender Systems Evaluation In: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020), Virtual Event China, 25-30 July 2020
- Wang, X.,Gu, B.,Qu, Y.,Ren, Y.,Xiang, Y.,Gao, L. (2020). Reliable Customized Privacy-Preserving in Fog Computing In: Proceedings of the IEEE International Conference on Communications (ICC 2020), Dublin, Ireland, 7-11 June 2020
- Wang, X.,Gu, B.,Qu, Y.,Ren, Y.,Xiang, Y.,Gao, L. (2020). A Privacy Preserving Aggregation Scheme for Fog-Based Recommender System In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ELECTR NETWORK,
Web search, Collaborative filtering, Recommender system, Data mining, Log analysis
11 PhD Current Supervisions and 1 Masters by Research Current Supervisions5 PhD Completions
- Digitisation for Safe Workplaces (VHESIF Pool 1). Funded by: Victorian Higher Education State Investment Fund (VHESIF) - Pool 1 from (2021 to 2025)
- Stream Data Classification in the Age of 5G Networks. Funded by: ARC Discovery Projects 2021 from (2021 to 2024)
- Multi-resolution Situation Recognition for Urban-Aware Smart Assistant. Funded by: ARC Discovery Projects 2019 from (2019 to 2023)
- A cyber physical and socially aware personal assistant. Funded by: Microsoft Corporation (USA) - research grant 2018 from (2018 to 2020)